Abstract: In some examples, a controller includes an interface to receive presence indicators associated with computer nodes, and a processor to determine, based on the presence indicators, a quantity of a set of computer nodes that are present in a system, and adjust, based on the determined quantity, phases of activity control indications provided to the computer nodes of the set of computer nodes, wherein the adjusting is to vary a first phase of a first activity control indication of the activity control indications relative to a second phase of a second activity control indication of the activity control indications.

Abstract: In some examples, a controller includes an interface to receive presence indicators associated with computer nodes, and a processor to determine, based on the presence indicators, a quantity of a set of computer nodes that are present in a system, and adjust, based on the determined quantity, phases of activity control indications provided to the computer nodes of the set of computer nodes, wherein the adjusting is to vary a first phase of a first activity control indication of the activity control indications relative to a second phase of a second activity control indication of the activity control indications.

Abstract: Examples relate to edge device disablement. In some examples, edge device disablement includes an edge device including a processing resource in communication with a memory resource including instructions executable to receive an indication of a disablement trigger associated with the edge device and responsive to the indication, reprogram a printed circuit assembly (PCA) of the edge device to render mechanisms of the PCA inoperable.

Abstract: Examples disclosed herein relate to using a neural network to take inputs to control fans on a blade system. A chassis management controller is used to control the fans in the blade system. The blade system can have a number of blade slots. The chassis management controller can implement a neural network including multiple nodes. One of the nodes includes multiple inputs including a sensor input and a baseboard management controller input from one of the blades coupled to at least one blade slot. The neural network processes the inputs to determine an output. The output can be used to control a fan.

Abstract: Example implementations relate to selectively enabling backup power to nodes. For example, a system includes a plurality of compute nodes, where each node includes a plurality of loads. The system also includes at least one backup power supply and control module coupled to the nodes and to the at least one backup power supply. The control module is to selectively enable an output of power from the at least one backup power supply to the nodes based on a comparison of a power capacity of the at least one backup power supply and a backup power demand of the nodes.

Abstract: Examples relate to edge device disablement. In some examples, edge device disablement includes an edge device including a processing resource in communication with a memory resource including instructions executable to receive an indication of a disablement trigger associated with the edge device and responsive to the indication, reprogram a printed circuit assembly (PCA) of the edge device to render mechanisms of the PCA inoperable.

Abstract: Example implementations relate to selectively enabling backup power to nodes. For example, a system includes a plurality of compute nodes, where each node includes a plurality of loads. The system also includes at least one backup power supply and control module coupled to the nodes and to the at least one backup power supply. The control module is to selectively enable an output of power from the at least one backup power supply to the nodes based on a comparison of a power capacity of the at least one backup power supply and a backup power demand of the nodes.